Results 91 to 100 of about 5,938 (188)

Residual Stresses Measurements in Laser Powder Bed Fusion Using Barkhausen Noise Analysis. [PDF]

Materials (Basel), 2022
Staub A, Scherer M, Zehnder P, Spierings AB, Wegener K.   +4 more
europepmc   +1 more source

Short-Time Fatigue Life Estimation for Heat Treated Low Carbon Steels by Applying Electrical Resistance and Magnetic Barkhausen Noise. [PDF]

Materials (Basel), 2022
Wu H, Ziman JA, Raghuraman SR, Nebel JE, Weber F, Starke P.   +5 more
europepmc   +1 more source

Quantitative Evaluation of the Effect of Temperature on Magnetic Barkhausen Noise. [PDF]

Sensors (Basel), 2021
Wang Y, Meydan T, Melikhov Y.
europepmc   +1 more source

Experimental Consideration of Conditions for Measuring Residual Stresses of Rails Using Magnetic Barkhausen Noise Method. [PDF]

Materials (Basel), 2021
Hwang YI, Kim YI, Seo DC, Seo MK, Lee WS, Kwon S, Kim KB.   +6 more
europepmc   +1 more source

Magnetic Barkhausen Noise Transient Analysis for Microstructure Evolution Characterization with Tensile Stress in Elastic and Plastic Status. [PDF]

Sensors (Basel), 2021
Liu J, Tian G, Gao B, Zeng K, Liu Q, Zheng Y.   +5 more
europepmc   +1 more source

Impact of the STFT Window Size on Classification of Grain-Oriented Electrical Steels from Barkhausen Noise Time–Frequency Spectrograms via Deep CNNs

Applied Sciences
The Magnetic Barkhausen Noise (MBN) is a non-destructive testing method, which, due to its high sensitivity to changes in the microstructure of the material, is increasingly being applied with success as a tool for evaluation of magnetic material state ...
Michal Maciusowicz, Grzegorz Psuj
doaj   +1 more source

Barkhausen noise from domain walls with internal degrees of freedom

Physical Review Research
Domain walls in disordered ferromagnets—interfaces separating oppositely magnetized regions—are commonly modeled as elastic interfaces in random media.
Eetu Honkanen, Lasse Laurson
doaj   +1 more source

Identification of Grain Oriented SiFe Steels Based on Imaging the Instantaneous Dynamics of Magnetic Barkhausen Noise Using Short-Time Fourier Transform and Deep Convolutional Neural Network. [PDF]

Materials (Basel), 2021
Maciusowicz M, Psuj G, Kochmański P.
europepmc   +1 more source

Design and Implementation of Automatic Detection System of Gear Grinding Burn

Jixie chuandong, 2015
For the detection of grinding burn about tooth flank of cylindrical gear and bevel gear after grinding,the grinding burn detection system based on manipulator is proposed,which improves the degree of automation and reliability.The Barkhausen noise ...
Lin Jiachun, Huang Shaoyu
doaj  

Time-Response-Histogram-Based Feature of Magnetic Barkhausen Noise for Material Characterization Considering Influences of Grain and Grain Boundary under In Situ Tensile Test. [PDF]

Sensors (Basel), 2021
Liu J, Tian G, Gao B, Zeng K, Xu Y, Liu Q.   +5 more
europepmc   +1 more source